- makeBackwardsCompatible(int) - Method in class org.deidentifier.arx.ARXPopulationModel
-
Deprecated.
- max(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.InformationLoss
-
Retains the maximum of this and other.
- max(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
-
- max(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.v2.ILSingleDimensional
-
- maxFrequency - Variable in class org.deidentifier.arx.aggregates.StatisticsContingencyTable
-
Maximal frequency in the contingency table.
- maxLevel - Variable in class org.deidentifier.arx.ARXLattice.LatticeDeserializationContext
-
Max level
- Metric<T extends InformationLoss<?>> - Class in org.deidentifier.arx.metric
-
Abstract base class for metrics.
- Metric.AggregateFunction - Enum in org.deidentifier.arx.metric
-
Pluggable aggregate functions.
- MetricAECS - Class in org.deidentifier.arx.metric
-
This class provides an implementation of the (normalized) average equivalence class size metric.
- MetricConfiguration - Class in org.deidentifier.arx.metric
-
A class for a configuration of a metric.
- MetricConfiguration(boolean, double, boolean, double, Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.MetricConfiguration
-
Constructs a new instance.
- MetricDefault - Class in org.deidentifier.arx.metric
-
This class provides an abstract skeleton for the implementation of metrics.
- MetricDefault(boolean, boolean) - Constructor for class org.deidentifier.arx.metric.MetricDefault
-
- MetricDescription - Class in org.deidentifier.arx.metric
-
A class describing a metric and its configuration options.
- MetricDM - Class in org.deidentifier.arx.metric
-
This class provides an implementation of the DM metric (non-monotonic).
- MetricDMStar - Class in org.deidentifier.arx.metric
-
This class provides an implementation of the DM* metric (monotonic variant of
the Discernability Metric).
- MetricEntropy - Class in org.deidentifier.arx.metric
-
This class provides an efficient implementation of the non-uniform entropy
metric.
- MetricHeight - Class in org.deidentifier.arx.metric
-
This class provides an implementation of the Height metric.
- MetricMDHeight - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the Height metric.
- MetricMDNMLoss - Class in org.deidentifier.arx.metric.v2
-
This class implements a variant of the Loss metric.
- MetricMDNMLoss() - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNMLoss
-
Default constructor which treats all transformation methods equally.
- MetricMDNMLoss(Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNMLoss
-
Default constructor which treats all transformation methods equally.
- MetricMDNMLoss(double, Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNMLoss
-
A constructor that allows to define a factor weighting generalization and suppression.
- MetricMDNMLossPotentiallyPrecomputed - Class in org.deidentifier.arx.metric.v2
-
This class implements a variant of the Loss metric.
- MetricMDNMLossPrecomputed - Class in org.deidentifier.arx.metric.v2
-
This class implements a variant of the Loss metric.
- MetricMDNMPrecision - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of a weighted precision metric as
proposed in:
Sweeney, L. (2002).
- MetricMDNUEntropy - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy
metric.
- MetricMDNUEntropyPotentiallyPrecomputed - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy
metric.
- MetricMDNUEntropyPrecomputed - Class in org.deidentifier.arx.metric.v2
-
This class provides an efficient implementation of the non-uniform entropy
metric.
- MetricMDNUEntropyPrecomputed(boolean, boolean, double, Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNUEntropyPrecomputed
-
Precomputed.
- MetricMDNUNMEntropy - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy
metric.
- MetricMDNUNMEntropyPotentiallyPrecomputed - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy
metric.
- MetricMDNUNMEntropyPrecomputed - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-uniform entropy
metric.
- MetricMDNUNMNormalizedEntropy - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of normalized non-uniform entropy
- MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of normalized non-uniform entropy
- MetricMDNUNMNormalizedEntropyPrecomputed - Class in org.deidentifier.arx.metric.v2
-
This class provides an efficient implementation of normalized non-uniform entropy
- MetricMDNUNMNormalizedEntropyPrecomputed(Metric.AggregateFunction) - Constructor for class org.deidentifier.arx.metric.v2.MetricMDNUNMNormalizedEntropyPrecomputed
-
Creates a new instance.
- MetricMDPrecision - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of a weighted precision metric as
proposed in:
Sweeney, L. (2002).
- MetricMDStatic - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of a static metric in
which information loss is user-defined per generalization level.
- MetricNMEntropy - Class in org.deidentifier.arx.metric
-
This class provides an efficient implementation of a non-monotonic and
non-uniform entropy metric.
- MetricNMPrecision - Class in org.deidentifier.arx.metric
-
This class provides an implementation of a weighted precision metric as
proposed in:
Sweeney, L. (2002).
- MetricPrecision - Class in org.deidentifier.arx.metric
-
This class provides an implementation of a monotonic weighted precision metric.
- MetricSDAECS - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the (normalized) average equivalence class size metric.
- MetricSDDiscernability - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the monotonic DM* metric.
- MetricSDNMAmbiguity - Class in org.deidentifier.arx.metric.v2
-
This class implements a variant of the Ambiguity metric.
- MetricSDNMAmbiguity() - Constructor for class org.deidentifier.arx.metric.v2.MetricSDNMAmbiguity
-
Default constructor.
- MetricSDNMDiscernability - Class in org.deidentifier.arx.metric.v2
-
This class provides an implementation of the non-monotonic DM metric.
- MetricSDNMKLDivergence - Class in org.deidentifier.arx.metric.v2
-
This class implements the KL Divergence metric.
- MetricSDNMKLDivergence() - Constructor for class org.deidentifier.arx.metric.v2.MetricSDNMKLDivergence
-
Default constructor.
- MetricStatic - Class in org.deidentifier.arx.metric
-
This class provides an implementation of a static metric in
which information loss is user-defined per generalization level.
- MetricWeighted<T extends InformationLoss<?>> - Class in org.deidentifier.arx.metric
-
This class provides an abstract skeleton for the implementation of weighted metrics.
- MetricWeighted(boolean, boolean) - Constructor for class org.deidentifier.arx.metric.MetricWeighted
-
Constructor.
- min(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.InformationLoss
-
Retains the minimum of this and other.
- min(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.v2.AbstractILMultiDimensional
-
- min(InformationLoss<?>) - Method in class org.deidentifier.arx.metric.v2.ILSingleDimensional
-
- minLevel - Variable in class org.deidentifier.arx.ARXLattice.LatticeDeserializationContext
-
Min level
- MultiClassLogisticRegression - Class in org.deidentifier.arx.aggregates.classification
-
Implements a classifier
- MultiClassLogisticRegression(ClassificationDataSpecification, ARXLogisticRegressionConfiguration) - Constructor for class org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegression
-
Creates a new instance
- MultiClassLogisticRegressionClassificationResult - Class in org.deidentifier.arx.aggregates.classification
-
A classification result
- MultiClassZeroR - Class in org.deidentifier.arx.aggregates.classification
-
Implements a classifier
- MultiClassZeroR(ClassificationDataSpecification) - Constructor for class org.deidentifier.arx.aggregates.classification.MultiClassZeroR
-
Creates a new instance
- MultiClassZeroRClassificationResult - Class in org.deidentifier.arx.aggregates.classification
-
A classification result
- multiply(Date, Date) - Method in class org.deidentifier.arx.DataType.ARXDate
-
- multiply(Date, double) - Method in class org.deidentifier.arx.DataType.ARXDate
-
- multiply(Date, int) - Method in class org.deidentifier.arx.DataType.ARXDate
-
- multiply(String, String) - Method in class org.deidentifier.arx.DataType.ARXDate
-
- multiply(Double, double) - Method in class org.deidentifier.arx.DataType.ARXDecimal
-
- multiply(Double, Double) - Method in class org.deidentifier.arx.DataType.ARXDecimal
-
- multiply(Double, int) - Method in class org.deidentifier.arx.DataType.ARXDecimal
-
- multiply(String, String) - Method in class org.deidentifier.arx.DataType.ARXDecimal
-
- multiply(Long, double) - Method in class org.deidentifier.arx.DataType.ARXInteger
-
- multiply(Long, int) - Method in class org.deidentifier.arx.DataType.ARXInteger
-
- multiply(Long, Long) - Method in class org.deidentifier.arx.DataType.ARXInteger
-
- multiply(String, String) - Method in class org.deidentifier.arx.DataType.ARXInteger
-
- multiply(String, String) - Method in interface org.deidentifier.arx.DataType.DataTypeWithRatioScale
-
- multiply(T, double) - Method in interface org.deidentifier.arx.DataType.DataTypeWithRatioScale
-
- multiply(T, int) - Method in interface org.deidentifier.arx.DataType.DataTypeWithRatioScale
-
- multiply(T, T) - Method in interface org.deidentifier.arx.DataType.DataTypeWithRatioScale
-